A personalized intervention to prevent depression in primary care: cost-effectiveness study nested into a clustered randomized trial

Background: Depression is viewed as a major and increasing public health issue, as it causes high distress in the people experiencing it and considerable financial costs to society. Efforts are being made to reduce this burden by preventing depression. A critical component of this strategy is the ability to assess the individual level and profile of risk for the development of major depression. This paper presents the cost-effectiveness of a personalized intervention based on the risk of developing depression carried out in primary care, compared with usual care. Methods: Cost-effectiveness analyses are nested within a multicentre, clustered, randomized controlled trial of a personalized intervention to prevent depression. The study was carried out in 70 primary care centres from seven cities in Spain. Two general practitioners (GPs) were randomly sampled from those prepared to participate in each centre (i.e. 140 GPs), and 3326 participants consented and were eligible to participate. The intervention included the GP communicating to the patient his/her individual risk for depression and personal risk factors and the construction by both GPs and patients of a psychosocial programme tailored to prevent depression. In addition, GPs carried out measures to activate and empower the patients, who also received a leaflet about preventing depression. GPs were trained in a 10- to 15-h workshop. Costs were measured from a societal and National Health care perspective. Qualityadjustedlife years were assessed using the EuroQOL five dimensions questionnaire. The time horizon was 18 months. Results: With a willingness-to-pay threshold of (sic)10, 000 ((sic)8568) the probability of cost-effectiveness oscillated from 83% (societal perspective) to 89% (health perspective). If the threshold was increased to (sic)30, 000 ((sic)25, 704), the probability of being considered cost-effective was 94% (societal perspective) and 96%, respectively (health perspective). The sensitivity analysis confirmed these results. Conclusions: Compared with usual care, an intervention based on personal predictors of risk of depression implemented by GPs is a cost-effective strategy to prevent depression. This type of personalized intervention in primary care should be further developed and evaluated

EPIdemiology of Surgery-Associated Acute Kidney Injury (EPIS-AKI) : Study protocol for a multicentre, observational trial

More than 300 million surgical procedures are performed each year. Acute kidney injury (AKI) is a common complication after major surgery and is associated with adverse short-term and long-term outcomes. However, there is a large variation in the incidence of reported AKI rates. The establishment of an accurate epidemiology of surgery-associated AKI is important for healthcare policy, quality initiatives, clinical trials, as well as for improving guidelines. The objective of the Epidemiology of Surgery-associated Acute Kidney Injury (EPIS-AKI) trial is to prospectively evaluate the epidemiology of AKI after major surgery using the latest Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI. EPIS-AKI is an international prospective, observational, multicentre cohort study including 10 000 patients undergoing major surgery who are subsequently admitted to the ICU or a similar high dependency unit. The primary endpoint is the incidence of AKI within 72 hours after surgery according to the KDIGO criteria. Secondary endpoints include use of renal replacement therapy (RRT), mortality during ICU and hospital stay, length of ICU and hospital stay and major adverse kidney events (combined endpoint consisting of persistent renal dysfunction, RRT and mortality) at day 90. Further, we will evaluate preoperative and intraoperative risk factors affecting the incidence of postoperative AKI. In an add-on analysis, we will assess urinary biomarkers for early detection of AKI. EPIS-AKI has been approved by the leading Ethics Committee of the Medical Council North Rhine-Westphalia, of the Westphalian Wilhelms-University Münster and the corresponding Ethics Committee at each participating site. Results will be disseminated widely and published in peer-reviewed journals, presented at conferences and used to design further AKI-related trials. Trial registration number NCT04165369

Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.

BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362

Intracranial tumor behavior of plasma cell neoplasms. Report of 2 cases and literature review [Comportamiento tumoral de neoplasias intracraneales de células plasmáticas. Reporte de 2 casos y revisión de la bibliografía]

Background: Multiple myeloma is a plasmatic cell neoplasm that is characterized by skeletal destruction, renal failure, anemia and hypercalcemia. The skull plasmacytomas represent less than 1% of the head and neck tumors, they can be the primary lesion or occur as a secondary manifestation of multiple myeloma in 20-30% of the patients, or they can even manifest several years later after the diagnosis of plasmacytoma. Although some of the lesions may be surgically accessible, the aggressive natural behavior will complicate the evolution of the patients. We present two cases of Mexican women with intracranial plasmacytomas, one of them associated with multiple myeloma. Clinical cases: The first case was a 24 year-old woman diagnosed with a multiple myeloma with plasmacytic-plasmablastic bone infiltration that was removed in 90%. She presented a local recurrence that required a second intervention for removal. The second case was a 62 year-old female with a malignant intracranial tumor of plasma cells that was totally resected. Both patients received adjuvant treatment based on chemotherapy and radiation therapy with favorable results. The patients died at 5 and 1.5 years respectively due to renal failure secondary to systemic disease. Conclusions: We propose the chemotherapy and radiation therapy as an essential part of treatment for this condition, as their aggressive behavior can complicate the evolution, despite being surgically accessible

Intracranial tumor behavior of plasma cell neoplasms. Report of 2 cases and literature review [Comportamiento tumoral de neoplasias intracraneales de células plasméticas. Reporte de 2 casos y revisión de la bibliografía]

Background: Multiple myeloma is a plasmatic cell neoplasm that is characterized by skeletal destruction, renal failure, anemia and hypercalcemia. The skull plasmacytomas represent less than 1% of the head and neck tumors, they can be the primary lesion or occur as a secondary manifestation of multiple myeloma in 20-30% of the patients, or they can even manifest several years later after the diagnosis of plasmacytoma. Although some of the lesions may be surgically accessible, the aggressive natural behavior will complicate the evolution of the patients. We present two cases of Mexican women with intracranial plasmacytomas, one of them associated with multiple myeloma. Clinical cases: The first case was a 24 year-old woman diagnosed with a multiple myeloma with plasmacytic-plasmablastic bone infiltration that was removed in 90%. She presented a local recurrence that required a second intervention for removal. The second case was a 62 year-old female with a malignant intracranial tumor of plasma cells that was totally resected. Both patients received adjuvant treatment based on chemotherapy and radiation therapy with favorable results. The patients died at 5 and 1.5 years respectively due to renal failure secondary to systemic disease. Conclusions: We propose the chemotherapy and radiation therapy as an essential part of treatment for this condition, as their aggressive behavior can complicate the evolution, despite being surgically accessible

Plane detection using particle swarm optimization and conformal geometric algebra

Purpose: The aim of this study was to assess the use of a new medical device to elevate depressed skull fractures (DSFs) in newborns and minor infants. Methods: Nine patients (ranging from 1 day to 9 months of age) with simple DSF underwent skull elevation by a new elevator medical device. This medical device comprises two elements: a pediatric resuscitator (CPR mask) connected to a 50-ml syringe. Pediatric CPR face mask is placed on the depressed region and negative pressure is generated through syringe plunger elevation until fracture reduction is observed. Results: Fracture reduction was confirmed in eight of nine patients by computed tomography scan without underlying brain damage and associated complications. Skull asymmetry was eliminated recovering normal shape. Up to now, there are no neurological concerns. Another treatment was chosen to be applied for one patient who did not respond to manipulation. Conclusion: The new device is a safe, affordable, and effective choice in the treatment of simple depressed skull fractures in newborns and minor infants. " 2012 Springer-Verlag Berlin Heidelberg.",,,,,,"10.1007/s00381-012-1979-2",,,"http://hdl.handle.net/20.500.12104/43631","http://www.scopus.com/inward/record.url?eid=2-s2.0-84876665142&partnerID=40&md5=05fdc7d960d42a52c1ee6e2651e7646

Age-Related Effects of COVID-19 Pandemic on Mechanical Reperfusion and 30-Day Mortality for STEMI: Results of the ISACS-STEMI COVID-19 Registry.

BACKGROUND: The constraints in the management of patients with ST-segment elevation myocardial infarction (STEMI) during the COVID-19 pandemic have been suggested to have severely impacted mortality levels. The aim of the current analysis is to evaluate the age-related effects of the COVID-19 pandemic on mechanical reperfusion and 30-day mortality for STEMI within the registry ISACS-STEMI COVID-19. METHODS: This retrospective multicenter registry was performed in high-volume PPCI centers on four continents and included STEMI patients undergoing PPCI in March-June 2019 and 2020. Patients were divided according to age (< or ≥75 years). The main outcomes were the incidence and timing of PPCI, (ischemia time longer than 12 h and door-to-balloon longer than 30 min), and in-hospital or 30-day mortality. RESULTS: We included 16,683 patients undergoing PPCI in 109 centers. In 2020, during the pandemic, there was a significant reduction in PPCI as compared to 2019 (IRR 0.843 (95%-CI: 0.825-0.861, p < 0.0001). We found a significant age-related reduction (7%, p = 0.015), with a larger effect on elderly than on younger patients. Furthermore, we observed significantly higher 30-day mortality during the pandemic period, especially among the elderly (13.6% vs. 17.9%, adjusted HR (95% CI) = 1.55 [1.24-1.93], p < 0.001) as compared to younger patients (4.8% vs. 5.7%; adjusted HR (95% CI) = 1.25 [1.05-1.49], p = 0.013), as a potential consequence of the significantly longer ischemia time observed during the pandemic. CONCLUSIONS: The COVID-19 pandemic had a significant impact on the treatment of patients with STEMI, with a 16% reduction in PPCI procedures, with a larger reduction and a longer delay to treatment among elderly patients, which may have contributed to increase in-hospital and 30-day mortality during the pandemic

Behavioral Outcomes and Neurodevelopmental Disorders Among Children of Women With Epilepsy

IMPORTANCE The association of fetal exposure to antiseizure medications (ASMs) with outcomes in childhood are not well delineated. OBJECTIVE To examine the association of fetal ASM exposure with subsequent adaptive, behavioral or emotional, and neurodevelopmental disorder outcomes at 2, 3, and 4.5 years of age. DESIGN, SETTING, AND PARTICIPANTS The Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD) study is a prospective, observational cohort study conducted at 20 epilepsy centers in the US. A total of 456 pregnant women with epilepsy or without epilepsy were enrolled from December 19, 2012, to January 13, 2016. Children of enrolled women were followed up with formal assessments at 2, 3, 4.5, and 6 years of age. Statistical analysis took place from August 2022 to May 2023. EXPOSURES Exposures included mother’s epilepsy status as well as mother’s ASM blood concentration in the third trimester (for children of women with epilepsy). Women with epilepsy were enrolled regardless of ASM regimen. MAIN OUTCOMES AND MEASURES The primary outcome was the Adaptive Behavior Assessment System, Third Edition (ABAS-3) General Adaptive Composite (GAC) score among children at 4.5 years of age. Children of women with epilepsy and children of women without epilepsy were compared, and the associations of ASM exposures with outcomes among exposed children were assessed. Secondary outcomes involved similar analyses of other related measures. RESULTS Primary analysis included 302 children of women with epilepsy (143 boys [47.4%]) and 84 children of women without epilepsy (45 boys [53.6%]). Overall adaptive functioning (ABAS-3 GAC score at 4.5 years) did not significantly differ between children of women with epilepsy and children of women without epilepsy (parameter estimate [PE], 0.4 [95% CI, −2.5 to 3.4]; P = .77). However, in adjusted analyses, a significant decrease in functioning was seen with increasing third-trimester maximum ASM blood concentrations (PE, −7.8 [95% CI, −12.6 to −3.1]; P = .001). This decrease in functioning was evident for levetiracetam (PE, −18.9 [95% CI, −26.8 to −10.9]; P < .001) and lamotrigine (PE, −12.0 [95% CI, −23.7 to −0.3]; P = .04), the ASMs with sample sizes large enough for analysis. Results were similar with third-trimester maximum daily dose. CONCLUSIONS AND RELEVANCE This study suggests that adaptive functioning of children of women with epilepsy taking commonly used ASMs did not significantly differ from that of children of women without epilepsy, but there was an exposure-dependent association of ASMs with functioning. Thus, psychiatric or psychological screening and referral of women with epilepsy and their offspring are recommended when appropriate. Additional research is needed to confirm these findings. © 2023 American Medical Association. All rights reserved.12 month embargo; first published 20 November 2023This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning

International audienceThe Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep learning to predict the detailed morphologies of galaxies in Euclid using Zoobot a convolutional neural network pretrained with 450000 galaxies from the Galaxy Zoo project. We adapted Zoobot for emulated Euclid images, generated based on Hubble Space Telescope COSMOS images, and with labels provided by volunteers in the Galaxy Zoo: Hubble project. We demonstrate that the trained Zoobot model successfully measures detailed morphology for emulated Euclid images. It effectively predicts whether a galaxy has features and identifies and characterises various features such as spiral arms, clumps, bars, disks, and central bulges. When compared to volunteer classifications Zoobot achieves mean vote fraction deviations of less than 12% and an accuracy above 91% for the confident volunteer classifications across most morphology types. However, the performance varies depending on the specific morphological class. For the global classes such as disk or smooth galaxies, the mean deviations are less than 10%, with only 1000 training galaxies necessary to reach this performance. For more detailed structures and complex tasks like detecting and counting spiral arms or clumps, the deviations are slightly higher, around 12% with 60000 galaxies used for training. In order to enhance the performance on complex morphologies, we anticipate that a larger pool of labelled galaxies is needed, which could be obtained using crowdsourcing. Finally, our findings imply that the model can be effectively adapted to new morphological labels. We demonstrate this adaptability by applying Zoobot to peculiar galaxies. In summary, our trained Zoobot CNN can readily predict morphological catalogues for Euclid images